Neural-inspired computing algorithms and hardware for image analysis and cybersecurity applications.
Abstract
Abstract not provided.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1456615
- Report Number(s):
- SAND2017-4198C
652657
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Conference
- Resource Relation:
- Conference: Proposed for presentation at the Salishan Conference on High-Speed Computing held April 24-27, 2017 in Gleneden Beach, Oregon.
- Country of Publication:
- United States
- Language:
- English
Citation Formats
James, Conrad D. Neural-inspired computing algorithms and hardware for image analysis and cybersecurity applications.. United States: N. p., 2017.
Web.
James, Conrad D. Neural-inspired computing algorithms and hardware for image analysis and cybersecurity applications.. United States.
James, Conrad D. 2017.
"Neural-inspired computing algorithms and hardware for image analysis and cybersecurity applications.". United States. https://www.osti.gov/servlets/purl/1456615.
@article{osti_1456615,
title = {Neural-inspired computing algorithms and hardware for image analysis and cybersecurity applications.},
author = {James, Conrad D.},
abstractNote = {Abstract not provided.},
doi = {},
url = {https://www.osti.gov/biblio/1456615},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Apr 01 00:00:00 EDT 2017},
month = {Sat Apr 01 00:00:00 EDT 2017}
}
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